Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

Using NumPy arrays with C libraries: A common use case for Cython is to write convenient Python wrappers for C libraries. Cython code can act as a bridge between an existing C library and NumPy ...

M icrosoft just announced new feature for Python in Excel that lets you analyze images in your spreadsheets. You no longer ...

Everything in Python is an object, or so the saying goes. If you want to create your own custom objects, with their own properties and methods, you use Python’s class object to make that happen.